Senior Data Platform Engineer - Kafka, GCP & Kubernetes

H&M; Stockholms kommun; On-site; SEK 900,000 - 1,100,000; Full time

Benefits offered by this job

Staff discount across H&M Group brands

HIP program

30 days holiday

Pension and life insurance (collective

Wellness allowance SEK 4,000 per year

Benify Benefits Portal

Community activities and development

Job summary

H&M Group seeks a Senior Platform Engineer to design and operate enterprise-scale data/streaming platforms. You will optimise Kafka clusters, deploy cloud-native services on GCP and Kubernetes, and build scalable data pipelines with Terraform and CI/CD automation.

You will also support data transformation with dbt, monitor performance and costs, keep security and compliance, and guide teams with platform best practices across the organisation.

Qualifications

• Strong experience with Apache Kafka and distributed event-driven architectures.
• Experience operating Kubernetes-based platforms in production environments.
• Strong knowledge of GCP services such as BigQuery, Pub/Sub, Dataflow, Cloud Run and Cloud Workflows
• Experience with Terraform, GitHub Actions and modern DevOps practices
• Experience with dbt and data platform engineering
• Strong programming skills in Java, Python or similar languages
• Experience working with large-scale enterprise systems and integrations

Responsibilities

• Design, build and operate enterprise-scale data and event streaming platforms.
• Manage and optimise Apache Kafka clusters in production environments.
• Build and operate cloud-native solutions on Google Cloud Platform (GCP) and Kubernetes.
• Develop scalable data pipelines, integration solutions and platform services.
• Implement Infrastructure-as-Code using Terraform and automate deployments through CI/CD pipelines.
• Support data transformation and modelling using dbt.
• Monitor platform performance, reliability and cost efficiency.
• Ensure platform security, compliance and high availability.
• Collaborate with teams across the organisation and provide technical guidance on platform best practices

Skills

Apache Kafka

Kubernetes

GCP

dbt

Java

Python

DevOps practices

Distributed systems

Data platform engineering

Tools

Terraform

GitHub Actions

Cloud Run

Dataflow

Pub/Sub

Job description

H&M Group seeks a Senior Platform Engineer to design and operate enterprise-scale data/streaming platforms. You will optimise Kafka clusters, deploy cloud-native services on GCP and Kubernetes, and build scalable data pipelines with Terraform and CI/CD automation.

You will also support data transformation with dbt, monitor performance and costs, keep security and compliance, and guide teams with platform best practices across the organisation.